drjobs Data Scientist SAMBA

Data Scientist SAMBA

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1 Vacancy
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Job Location drjobs

Newark - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

At Audible we believe stories have the power to transform lives. Its why we work with some of the worlds leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.

ABOUT THIS ROLE
As a Data Scientist you will build scalable solutions and models to support our business functions (Content Marketing Product). Leveraging a range of methods including machine learning and simulation you will explain quantify predict and prescribe in support of informing critical business decisions. You will translate business goals into agile insightful analytics. You will seek to create value for both stakeholders and customers and inform findings in a clear actionable way to managers and senior leaders.

ABOUT THIS TEAM
Audibles Data Science team partners with Marketing Content Product and Technology partners to solve business and technology problems using scientific approaches to build product and services that surprise and delight our customers. We employ scalable cuttingedge machine learning (ML) deep learning (DL) and Natural Language Processing (NLP) knowledge to better target customers and prospects understand and personalize the content and context needed to optimize their booklistening experience. We operate in an agile environment in which we own and collaborate on the life cycle of research design and model development of relevant projects.

As a Data Scientist you will...
Develop and validate models to optimize the Who When Where and How of all our interactions with customers
Develop Amazonscale data engineering pipelines
Imagine and invent before the business asks and create applications using cuttingedge approaches
Open the Science blackbox use causal inference and develop compelling data visualizations
Work closely with other data scientists ML experts engineers and on crossdisciplinary efforts with other scientists within Amazon
Contribute to the growth of the Audible Data Science team by sharing your ideas intellectual property and learning from others

ABOUT AUDIBLE
Audible is the leading producer and provider of audio storytelling. We spark listeners imaginations offering immersive cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.

3 yrs relevant experience and MS in one of the following disciplines: Computer Science Statistics Data Science Economics Applied Math Operational Research or a related quantitative field or PhD 1 year of relevant experience
Fluent in SQL Python
Modeling research design experience
Experience in Machine Learning Pipeline orchestration with AWS (SageMaker Batch Lambda Step Functions) or similar cloudplatforms
Experience in Big Data Engineering with Spark / AWS EMR & Glue
Experience with Agile Software Development

Domain knowledge and expertise of paid marketing specifically in Paid Search and Organic Search
Experience with Container Platforms (Docker Kubernetes/Fargate)
Experience with Streaming data processing
Experience with R RShiny and Scala

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Employment Type

Full-Time

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